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    Loop Engineering's Missing Building Block: Why Embedded Systems Are a Safer Playground for AI Agents
    Addy Osmani's Loop Engineering describes five building blocks for autonomous AI loops, but misses a critical question: when AI says 'done,' how do you know it's actually done? In AOSP / embedded environments, the answer is deterministic verification, the system itself tells you.
    Loop Engineering 的第六塊積木:為什麼嵌入式系統天生更適合 AI Agent
    Addy Osmani 的 Loop Engineering 描述了 AI 自動化迴圈的五塊積木,但漏了一個關鍵問題:AI 說「做好了」,你怎麼知道它是真的?在 AOSP / 嵌入式環境裡,答案是 deterministic verification,系統本身會告訴你。
    AI 為什麼會一本正經地胡說八道?從底層機制到實際可用的工程策略
    大模型的幻覺不是偶發的 bug,而是架構天生自帶的系統性風險。從底層原理拆解成因,談工程解法,以及為什麼 AOSP 開發環境本身就是一台天然的防幻覺兜底機。
    Why AI Confidently Makes Things Up: From Root Causes to Practical Engineering Strategies
    LLM hallucination is not an occasional bug, it's a systemic risk baked into the architecture. A breakdown of root causes, engineering countermeasures, and why AOSP development workflows are a natural safety net for AI agents.
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